(logit)
| 93 | |
| 94 | |
| 95 | def softmax(logit): |
| 96 | logit = fluid.layers.transpose(logit, [0, 2, 3, 1]) |
| 97 | logit = fluid.layers.softmax(logit) |
| 98 | logit = fluid.layers.transpose(logit, [0, 3, 1, 2]) |
| 99 | return logit |
| 100 | |
| 101 | def sigmoid_to_softmax(logit): |
| 102 | """ |
no test coverage detected